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Lms

Lms is a command-line tool distributed with LM Studio for checking application status, listing downloaded and loaded models, loading or unloading models, controlling the local API server, streaming logs, and creating LM Studio SDK projects.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Lms — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Lms when managing LM Studio models or its local inference server from a terminal, or when creating an SDK project or streaming application logs.

Who it is for

  • LM Studio users who want terminal controls for local models and the API server.
  • Developers who need model listings in JSON or want to create projects with the LM Studio SDK.

Documented uses

  • Check LM Studio status.
  • List downloaded models or models loaded for inferencing, including in JSON format.
  • Load or unload models.
  • Start or stop LM Studio’s local API server.
  • Create an LM Studio SDK project or stream LM Studio logs.
Before you choose

Requirements & limits

Lms ships with LM Studio 0.2.22 and newer. The repository identifies the project as MIT-licensed.

  • Lms is a companion command-line tool for LM Studio, not a standalone model runtime.
  • The CLI can start and stop LM Studio’s local API server.
  • The repository says the CLI is part of the lmstudio.js monorepo and cannot be built standalone.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Check LM Studio CLI availability

Confirm that the Lms command is available in a new terminal.

Before you start

  • LM Studio 0.2.22 or newer.

Steps

  1. Open a new terminal window.

  2. Run lms.

Expected outcome

The documented check for whether the CLI bootstrapping succeeded.

Guide limitations

  • If the command is not available, the repository suggests running npx lmstudio install-cli to add it to the path.
Documentation 1 ↗
Source-based practical guide

Inspect local model inventories

List downloaded models or models currently loaded for inferencing.

Before you start

  • LM Studio with the Lms CLI available.

Steps

  1. Run lms ls to list downloaded models.

  2. Add --json to lms ls for machine-readable downloaded-model output.

  3. Run lms ps to list loaded models available for inferencing.

  4. Add --json to lms ps for machine-readable loaded-model output.

Expected outcome

A terminal listing of downloaded or loaded models, with JSON output available for either command.

Guide limitations

  • The commands report downloaded and loaded models respectively; the repository does not describe them as interchangeable inventories.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
7 October 2026
Original website title
lmstudio-ai/lms · Official homepage title · retained in its source language
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